Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2021 Apr 20.
Published in final edited form as: Curr Biol. 2020 Apr 2;30(8):1537–1546.e3. doi: 10.1016/j.cub.2020.01.082

Disruption of EGF feedback by intestinal tumors and neighboring cells in Drosophila

Sang Ngo 1,2,*, Jackson Liang 1,3,*, Yu-Han Su 1, Lucy Erin O’Brien 1,4
PMCID: PMC7409949  NIHMSID: NIHMS1568956  PMID: 32243854

Summary

In healthy adult organs, robust feedback mechanisms control cell turnover to enforce homeostatic equilibrium between cell division and death [1, 2]. Nascent tumors must subvert these mechanisms to achieve cancerous overgrowth [37]. Elucidating the nature of this subversion can reveal how cancers become established and may suggest strategies to prevent tumor progression. In adult Drosophila intestine, a well-studied model of homeostatic cell turnover, the linchpin of cell equilibrium is feedback control of the EGF protease Rhomboid (Rho). Expression of Rho in apoptotic cells enables them to secrete EGFs, which stimulate nearby stem cells to undergo replacement divisions [8]. As in mammals, loss of adenomatous polyposis coli (APC) causes Drosophila intestinal stem cells to form adenomas [9]. Here we demonstrate that Drosophila APC−/− tumors trigger widespread Rho expression in non-apoptotic cells, resulting in chronic EGF signaling. Initially, nascent APC−/− tumors induce rho in neighbor wild-type cells via acute, non-autonomous activation of JNK. During later growth and multilayering, APC−/− tumors induce rho in tumor cells by autonomous downregulation of E-cadherin (E-cad) and consequent activity of p120-catenin. This sequential dysregulation of tumor non-autonomous and -autonomous EGF signaling converts tissue-level feedback into feed-forward activation that drives cancerous overgrowth. Since Rho, EGFR, and E-cad are associated with colorectal cancer in humans [1017], our findings may shed light on how human colorectal tumors progress.

Keywords: Drosophila, homeostasis, tumor, tumorigenesis, rhomboid, midgut, stem cell, JNK, apoptosis, E-cadherin

eTOC Blurb

Ngo et al. reveal how nascent tumors subvert normal feedback control of tissue-level cell equilibrium in order to promote tumor overgrowth. Early short-circuiting of feedback signaling in tumor-adjacent wild-type cells combines with later dysregulation in tumor cells to fuel chronic release of mitogens and activate feed-forward growth.

Results

To investigate how tumors subvert cell equilibrium in the Drosophila intestine (midgut) (Figure S1A), we used low-frequency, hs-flp-mediated MARCM recombination [18] to generate stem cells that were (1) marked by heritable fluorescent protein expression and (2) either control genotype or homozygous for null alleles of Drosophila Apc1 and Apc2 (hereafter, APC−/−) [19, 20] (Figure S2A). We allowed these marked stem cells to form multicellular clones and examined clone size and morphology (c.f. STAR Methods, “Clone visualization and quantification”). Midguts from mated females were used exclusively here and in subsequent experiments.

As described previously [2125], APC−/− stem cells frequently gave rise to large, multilayered adenomas over time (Figures 1A, S1BF). Whereas most 21-day control clones contained fewer than 50 cells, many 21-day APC−/− clones contained 100-500 cells (Figure 1G). This tumorous growth was accompanied by epithelial multilayering. At two days after induction, nearly all APC−/− clones were single-layered (Figure S1F); by 21 days after induction, in contrast, 36.2 ± 1.7% of APC−/− clones were multilayered. These overgrown, multilayered APC−/− masses protruded conspicuously into the midgut lumen (Figures S1C, S1D, S1E, S1G), reminiscent of APC-inactivated colonic adenomas in humans [26].

Figure 1. Growth of multilayered APC−/− tumors requires tumor-autonomous downregulation of E-cadherin (E-cad) and consequent deregulation of p120-catenin.

Figure 1.

(A) Experimental schema for B and C. Sparsely distributed, GFP-marked stem cells are null for both Apc and Apc2 (APC−/−). Over the next 21 days, many of these stem cells develop into GFP-marked, multilayered adenomas. See Figures S1BE and S2A.

(B) Loss of E-cad in supra-basal layers of APC−/− tumors. E-cad::mTomato (red hot LUT) is expressed in control tissue (top panels) and in basally localized cells within multilayered APC−/− clones (middle panel) but is absent from supra-basal cells (bottom panel). Each image is a single z-section of the respective conditions.

(C) Progressive loss of E-cad::mTomato expression in APC−/− clones. Percentages of all APC−/− clone cells that exhibit E-cad::mTomato are shown for single-layered clones, basal layers of multilayered clones, and supra-basal layers of multilayered clones. 67 single-layered tumors and 38 multilayered APC−/− clones pooled from n = 4 midguts at 21 days post-induction.

(D) Experimental schema for F-H. GFP-marked, APC−/− stem cells are generated at 1 day post-eclosion, and gene expression is manipulated specifically within these cells. At 22 days post-eclosion (21 days post-induction), the resulting, GFP-marked stem cell clones are analyzed. See Figures S2A and S2D for genetic strategy.

(E) Domain structure of wild-type (WT) and mutant E-cad alleles. E-caddCR4h lacks the extracellular adhesion domain [30]. E-cadΔJM lacks the intracellular binding domain for p120-catenin [34].

(F-H) Ectopic expression of E-cad in nascent APC−/− tumors inhibits tumor progression in a p120-dependent, adhesion-independent manner. Images (F) and cell counts (G) of control or APC−/− clones with clone-autonomous expression of the indicated transgenes. Cells in clones are marked by GFP. Clone boundaries are outlined in white. In G, n = 3 midguts per genotype; p-values by Mann-Whitney U-test. (H) Frequency of multilayered clones as a percentage of total clones. n = 4 midguts per genotype. p-values by unpaired t-test.

For (C, G, H), one of three independent experiments is shown with n midguts per experiment as indicated. For box-and-whisker plots, boxes show median, 25th and 75th percentiles, and whiskers are minimum and maximum values. Representative images shown in each panel. All scale bars, 50 μm.

As human APC cancers progress, they often lose expression of E-cadherin (E-cad, also shotgun) [27, 28]. We therefore examined whether Drosophila midgut APC−/− tumors lose E-cad as they develop. In control midguts, E-cad::mTomato [29] localized prominently to lateral cell membranes, as expected (Figure 1B, S1E) [8]. In single-layered APC−/− clones and in the basal layers of multilayered APC−/− clones, E-cad::mTomato was still present. However in 75% of supra-basal layers E-cad::mTomato was not detected (Figures 1B, 1C, S1E; see Table S1 for all experimental genotypes). Thus, Drosophila APC−/− tumors, like their human counterparts, downregulate E-cad as they progress.

Since human E-cad is an epithelial tumor suppressor, we wondered whether forced E-cad expression would suppress tumor formation. Hence, we assessed the tumorigenicity of APC−/− stem cells that ectopically overexpressed E-cad (Figures 1D, S2D). E-cad overexpression had no effect on the sizes of control clones, but markedly reduced the sizes of APC−/− clones (Figures 1F, 1G; see Tables S2, S3 for clone statistics). Furthermore, E-cad overexpression sharply reduced the frequency of APC−/− multilayering, from 41.4 ± 6.3% of APC−/− clones to only 7.1 ± 3.1% of E-cad-expressing APC−/− clones (Figure 1H). Thus, E-cad acts as a tumor suppressor in the Drosophila midgut.

We sought to determine how E-cad suppresses midgut tumorigenesis. One model posits that loss of E-cad weakens cell-cell adhesion, facilitating cell invasion that is characteristic of advanced tumor stages. To test whether tumor suppression by E-cad involves adhesion, we forced APC−/− stem cells to overexpress an adhesion-incompetent mutant that lacks extracellular adhesion motifs, E-caddCR4h (Figure 1E) [30]. E-caddCR4h substantially prevented APC−/− clone overgrowth and multilayering (Figures 1FH). E-caddCR4h overexpression did not alter control clone sizes (Figure 1G). These striking results demonstrate that tumor suppression by Drosophila E-cad does not require cadher-in-mediated extracellular adhesion.

E-cad’s intracellular domain associates with two catenin-family transcription factors, β-catenin (Armadillo) and p120-catenin (p120) [31]. Although β-catenin contributes to APC-driven tumorigenesis in both Drosophila midgut and mammalian intestine [21, 22, 32, 33], it associates with both tumor suppressive alleles (E-cadWT and E-caddCR4h) and the allele E-cadΔJM, which we show below is non-suppressive (Figure 1E). Thus, E-cad’s ability to suppress tumor growth cannot be attributed to β-catenin sequestration.

We next examined p120. We previously found that, during steady-state turnover [8], E-cad prevents p120 from activating transcription of the EGF protease rhomboid (Figure S1A), likely by sequestering p120 at the enterocyte cortex. We thus examined whether E-cad suppresses tumorigenesis by binding p120. We forced APC−/− stem cells to express E-cadΔJM, a mutant with a juxtamembrane deletion that abrogates p120 but not β-catenin binding (Figure 1E) [34]. Unlike E-cad and EcaddCR4h, E-cadΔJM failed to suppress tumorigenesis. APC−/− clones overexpressing E-cadΔJM grew to sizes comparable to APC−/− clones, and a similar proportion became multilayered (Figures 1G, 1H). E-cadΔJM overexpression did not alter the sizes of control clones (Figure 1G). These results imply that E-cad-p120 binding is crucial for tumor suppression.

If E-cad sequesters p120 to suppress tumorigenesis, loss of p120 should also suppress tumorigenesis. To test this prediction, we depleted p120 from APC−/− stem cells using RNAi. With p120 depletion, APC−/− clones accumulated significantly fewer cells compared to APC−/− clones (Figures 1F, 1G). They also exhibited less multilayering (Figure 1H). p120 RNAi did not affect control clone sizes (Figure 1G). These findings, combined with the loss of tumor suppression by E-CadΔJM, imply that downregulation of E-cad promotes tumorigenesis by dysregulating p120.

The key function of p120 during steady-state turnover is to activate rhomboid [8]. We therefore wondered whether p120 contributes to APC−/− tumor development by rhomboid activation. First, we examined expression of a rhomboid-lacZ reporter (rho-lacZ; Figure 2A), which we built into a genetic system for generating negatively marked APC−/− clones (Figure S2B) [24]. In this system, all cells initially express GFP, and Flp/FRT recombination generates APC−/− stem cells that are unlabeled. Importantly, all cells possessed and were capable of expressing the rhomboid-lacZ transgene.

Figure 2. Hyperactivation of rhomboid and Egfr in non-apoptotic APC−/− cells is essential for tumor growth and multilayering.

Figure 2.

(A) Experimental timeline for B-I. Clones are induced one day post-eclosion, and midguts are analyzed at 22 days post-eclosion (21 days post-induction).

(B-C) Cells in APC−/− clones express rhomboid more frequently than cells in control clones. The genetic schema in Figure S2B was used to generate unmarked clones in background of GFP-expressing ‘non-clone’ cells (red pseudocolor). Clone boundaries are outlined in white (top and middle rows) and black (bottom row). (B) Immunostaining for a rhomboid-lacZ reporter (rho-lacZ) in midguts with control clones (left column) and APC−/− clones (right column). (C) Percentage of cells per clone that express rhomboid-lacZ. In the control dataset, 42 clones contain no rhomboid-lacZ+ cells (0%). Clones from n = 3 midguts per genotype; P values by Mann-Whitney U-test.

(D) rhomboid expression in APC−/− cells no longer correlates with apoptosis. The genetic schema in Figure S2B was used to generate either control or APC−/− clones in midguts with the rhomboid-lacZ reporter. Midguts were immunostained for β-galactosidase (rhomboid-lacZ) and cleaved Caspase3. Graph shows percentages of LacZ+ clone cells that are Casp3+ or Casp3. Whereas most LacZ+ cells in control clones are Casp3+, most LacZ+ cells in APC−/− clones are Casp3. n = 4 midguts per condition. See Figures S3A and S3B for representative images.

(E-F) Cells in APC−/− clones activate Erk more frequently than cells in control clones. (E) The genetic schema in Figure S2A was used to generate GFP-marked clones (green, top row). Clone boundaries are outlined in white (top row) and black (bottom row). Erk activation was assessed by immunostaining for di-phosphorylated Erk (dpErk) (top row, red; bottom row, inverted grayscale). (F) Percentages of cells per clone that exhibit dpErk. In the control dataset, 47 clones contain no dpErk+ cells (0%). Clones from n = 3 midguts per genotype; p-values by Mann-Whitney U-test.

(G-I) Tumor growth and multilayering require tumor-autonomous rhomboid and egfr. (G) The genetic schema in Figures S2A and S2D was used to generate GFP-marked clones (green) with clone-autonomous expression of the indicated RNAi transgenes. Clone boundaries are outlined in white. (H) Sizes of control or APC−/− clones that express the indicated transgenes. n = 3 midguts per genotype; p-values by Mann-Whitney U-test. (I) Frequency of multilayered clones as a percentage of total clones. n = 4 midguts per genotype. p-values by unpaired t-test.

For (C-D, F, H-I), one of three independent experiments is shown with n samples as specified for each experiment. For box-and-whisker plots, the boxes show median, 25th and 75th percentiles, and whiskers are minimum and maximum values. Representative images shown in each panel. All scale bars, 50 μm.

We observed widespread expression of rhomboid-lacZ in midguts containing APC−/− tumors. After 21 days of clone development, rhomboid-lacZ was expressed by 15.3 ± 12.4% of cells in APC−/− clones but only 1.7 ± 3.4% of cells in control clones (Figures 2AC). Furthermore, in midguts that contained APC−/− clones, rhomboid-lacZ was detected in 20.0 ± 12.7% of cells outside the clones (henceforth referred to as “non-clone cells”); whereas in midguts with control clones, rhomboid-lacZ was detected in only 2.1 ± 1.7% of non-clone cells (Figures 2B, 3A). This global upregulation of rhomboid-lacZ in tumor-containing guts was accompanied by a pronounced increase in rhomboid mRNA (Figure 4F). Intriguingly, 76% of rhomboid-expressing non-clone cells localized within ~2 enterocyte diameters (~30 μm) of APC−/− clones (Figures S4A, S4B). Increased rhomboid expression was not merely caused by APC+/− heterozygosity of non-clone cells (c.f. Figure S2B) since numbers of rhomboid-lacZ+ cells in APC+/− midguts and APC+/+ midguts were similar (Figure S4E). Thus, as APC−/− tumors develop, rhomboid becomes hyper-induced both tumor autonomously and non-autonomously.

Figure 3. Hyperactivation of rhomboid occurs in non-apoptotic cells surrounding tumors and is essential for tumor growth and multilayering.

Figure 3.

(A) Non-clone cells that surround APC−/− clones express rhomboid more frequently compared to non-clone cells that surround control clones. Control and APC−/− midgut clones were induced using the same experimental protocol and genotypes as Figures 2AC. Each data point shows the percentage of all non-clone cells that are rhomboid-lacZ+ in one midgut. Data points in Figures 3A and 2C were obtained from the same midguts. n = 4 midguts per genotype. P values by unpaired t-test.

(B) rhomboid expression in non-clone cells no longer correlates with apoptosis in midguts that contain APC−/− clones. The genetic schema in Figure S2B was used to generate either control or APC−/− clones in midguts containing rhomboid-lacZ. Midguts were immunostained for rhomboid-lacZ and Casp3. Graph shows percentages of all rhomboid-lacZ+ non-clone cells per midgut that are apoptotic (Casp3+) or non-apoptotic (Casp3). n = 4 midguts per genotype. See Figures S3A and S3B for representative images.

(C-F) Tumor growth and multilayering require tumor non-autonomous rhomboid but not egfr. (C) Timeline for generation of clones and concomitant genetic manipulation of non-clone cells. The genetic schema in Figures S2C, 3B was used to generate unmarked clones surrounded by RFP-marked non-clone cells that inducibly express the indicated transgenes upon administration of RU486. All control and experimental animals received RU486 from Day 1 (clone induction) to Day 22 (analysis). (D-E) Images (D) and sizes (E) of control or APC−/− clones with non-clone cell expression of the indicated transgenes. Clone boundaries are outlined in white. Scale bar, 50 μm. In (E), n = 3 midguts per genotype; P values by Mann-Whitney U-test. (F) Frequency of multilayered clones as a percentage of total clones. n = 4 midguts per genotype. P values by unpaired t-test.

For (A-B, E-F), one of three independent experiments is shown with n numbers as specified for each experiment. For box-and-whisker plots, the boxes show median, 25th and 75th percentiles, and whiskers are minimum and maximum values. Representative images shown in each image panel.

Figure 4. Nascent APC−/− clones induce rhomboid by eliciting JNK activation in surrounding, non-tumor cells.

Figure 4.

(A) Experimental timeline for B-E. APC−/− clones are induced in animals at 1 day post-eclosion and midguts are analyzed 2, 5, 10, and 21 days later.

(B-E) Non-clone cells that surround APC−/− clones activate JNK early in tumorigenesis and express rhomboid subsequently. The genetic schema in Figure S2B was used to generate unmarked control or APC−/− clones surrounded by GFP-marked non-clone cells in midguts with rhomboid-lacZ. Midguts were immunostained for rhomboid-lacZ and phosphorylated JNK. (B) Representative images of midguts containing either control or APC−/− clones at the indicated times after clone induction. Clone boundaries are outlined in white (top two rows) and black (bottom two rows). Top row shows rhomboid-lacZ in green. Second row shows GFP-marked non-clone cells in red. Third row shows pJNK in inverted grayscale in third row. Fourth row shows rhomboid-lacZ in inverted grayscale. Scale bars, 50 μm. See also Figure S4A. (C, D) Numbers of non-clone cells that are either pJNK+ (C) or rhomboid-lacZ+ (D) in midguts analyzed at the indicated times. (E) Most non-clone cells that express rhomboid also exhibit JNK activation. Graph shows the percentages of all rhomboid-lacZ+ non-clone cells that are also pJNK+ in midguts analyzed at the indicated times. For (C-E), gray bars represent midguts with control clones and red bars represent midguts with APC−/− clones. Each data point represents one midgut. n = 3 midguts per timepoint; means ± S.D. One of three independent experiments is shown.

(F-H) JNK activation in non-clone cells promotes rhomboid hyper-induction and tumor cell Erk activation. The genetic strategy in Figures S2C and S2E and experimental protocol in Figure 3C was used to generate either control or APC−/− clones and concomitantly express a dominant negative allele of JNK (bskDN) in non-clone cells.

(F) Inhibition of JNK in non-clone cells reduces levels of rhomboid mRNA. Whole-midgut qPCR was performed using midguts of the indicated genotypes. mRNA levels are shown normalized to midguts that contain control clones (left bar). Bars represent means ± S.D.; three biological replicates per condition. P values by unpaired t-test.

(G-H) Inhibition of JNK in non-clone cells reduces Erk activation in APC−/− clones. Immunostaining for dpErk was performed on APC−/− clone-containing midguts with or without bskDN expression in non-clone cells. Percentages of cells per clone that are dpErk+ (G) and representative images (H) are shown. In the bskDN condition, 35 clones contain zero dpErk+ cells (0%). Clones from n = 3 midguts per genotype; P values by Mann-Whitney U-test. One of three independent experiments is shown. Scale bars, 50 μm.

(I) Model. Tumor establishment requires that tumorigenic stem cells de-stabilize cell equilibrium by coercing non-apoptotic cells to express rhomboid. During healthy turnover (left), stem cell division is coupled to enterocyte death because expression of rhomboid, and hence secretion of mitogenic EGFs, occurs via apoptotic downregulation of E-cad and consequent release of p120-catenin [8]. For new tumors to become established (right), tumor-initiating stem cells decouple division from death by instigating widespread expression of rhomboid in cells that are not apoptotic. rhomboid hyper-induction is initially tumor non-autonomous, via activation of JNK in non-clone cells. It subsequently becomes tumor autonomous, via downregulation of E-cad and consequent activity of p120-catenin in tumor cells.

Since Rhomboid enables EGF secretion, its hyper-induction should lead to Egfr hyperactivation. Immunostaining for the activated, di-phosphorylated form of the Egfr effector Erk (dpErk) [4, 8, 22, 35], we found that 30.7 ± 17.0% of cells in APC−/− clones exhibited dpErk, compared to 5.5 ± 7.1% of cells in control clones (Figures 2E, 2F). Non-clone cells also exhibited dpErk more frequently in midguts with APC−/− clones compared to midguts with control clones (Figure 2E). Frequencies of rhomboid induction and Egfr activation were similar in single-layered and multilayered tumors (Figures S1H, S1I). Overall, these data show Egfr hyperactivation accompanies rhomboid hyperinduction during APC−/− tumor formation.

Does elevated Rhomboid-Egfr signaling promote tumor development? We first investigated this possibility by examining whether developing tumors require tumor-autonomous rhomboid. We used MARCM to generate GFP-labeled, APC−/− stem cells that additionally expressed rhomboid RNAi (Figures S2A, S2D). The clones arising from these rhomboid RNAi, APC−/− stem cells were markedly smaller than those arising from APC−/− stem cells (Figures 2G, 2H). Moreover, the vast majority of rhomboid RNAi, APC−/− clones did not become multilayered (Figure 2I).

Consistent with this requirement for rhomboid, and similar to prior reports [4, 8, 22, 3539], depleting egfr blocked both APC−/− and control clone growth and APC−/− clone multilayering (Figures 2G, 2H, 2I). Thus, hyper-induction of rhomboid in tumors promotes tumorigenesis, likely by potentiating EGFs secretion and consequent Egfr hyperactivation.

We next assessed whether tumor development requires non-autonomous rhomboid in non-clone cells. We specifically manipulated gene expression in non-clone cells by combining the GeneSwitch system (GSG2326; Figures S2C, S2E) with Flp/FRT recombination to generate APC−/− stem cells that lack the GeneSwitch Gal4 driver [24]. In this system, oral administration of RU486 induces UAS-transgene expression specifically in non-clone cells and not APC−/− cells. Non-clone cells are distinguished from APC−/− cells by expression of a recombination-sensitive RFP transgene.

We found that expression of rhomboid RNAi in non-clone cells dramatically reduced APC−/− clone sizes (Figure 3C), such that they approached the sizes of control clones with unmanipulated non-clone cells (Figure 3D, 3E). Multilayering was also substantially reduced (Figure 3F). Overexpressing E-cad or depleting p120 had similar effects (Figures 3D3F).

The strong growth inhibition that these three non-autonomous manipulations effected on APC−/− clones contrasted with their comparatively weak effects on control clones (Figure 3E). This difference implies that tumor non-autonomous E-cad-p120-Rhomboid dysregulation specifically fosters tumorigenesis, presumably via tumor-autonomous Egfr activation. Consistent with this notion, depleting egfr from non-clone cells did not affect clone sizes or multilayering (Figures 3E3F).

Together, these results demonstrate that nascent tumors can progress only when the E-cad-p120-Rhomboid pathway is disrupted in both tumors and surrounding, non-tumor cells. This dual requirement suggests that both cell populations are needed to produce EGFs in quantities sufficient to overcome robust mechanisms of feedback control.

During normal turnover, rhomboid is suppressed in healthy enterocytes but induced in apoptotic enterocytes (Figure S1A) [8]. This regulatory switch forms the linchpin for tissue-level cell equilibrium by spatiotemporally coupling EGF secretion to the loss of terminally differentiated cells [8]. Given this coupling, we asked whether tumorigenic subversion of cell equilibrium involves deregulation of rhomboid expression. To start, we investigated whether rhomboid-expressing cells were apoptotic by immunostaining against cleaved Caspase3 (c.f. Figure S3A). In control midguts, as expected [8], a small minority of rhomboid-lacZ cells was non-apoptotic in both clones (14.5 ± 17.0%) (Figures 2D, S3B) and non-clone cells (22.5 ± 9.8%) (Figures 3B, S3B). In midguts with APC−/− clones, however, the vast majority of rhomboid-lacZ cells was non-apoptotic in both clones (92.7 ± 3.7%) (Figures 2D, S3B) and non-clone cells (89.0 ± 2.9%) (Figures 3B, S3B). This striking finding reveals that the presence of APC−/− tumors causes rhomboid to be inappropriately expressed in cells that are not undergoing apoptotic elimination.

Intriguingly, although apoptotic cells comprise a small fraction of the total cell population, Suijkerbuijk et al. previously found that inhibiting apoptosis of non-clone cells reduces the sizes of both APC−/− and control clones. We thus probed the role of apoptosis by expressing the potent caspase inhibitor p35 [40] in either APC−/− clones (Figures S2A, S2D) or non-clone cells (Figures S2C, S2E). Consistent with prior work [24], we observed that APC−/− clones surrounded by p35-expressing non-clone cells were smaller (Figure S3K) [8, 24]. In addition, these clones exhibited reduced levels of Egfr activation and lower frequencies of multilayering compared to APC−/− clones with control non-clone cells (Figures S3ES3F, S3JS3L). By contrast, p35 expression in APC−/− clones had no significant effect on clone sizes, Egfr activation, or multilayering (Figures S3CS3D, S3GS3I). Taken together, these results suggest that tumor non-autonomous apoptosis is essential for tumor Egfr activation and growth. This finding is counterintuitive considering only 11% of rhomboid-expressing non-clone cells are apoptotic (Figure 3B), and the contributing mechanisms are unknown.

How do nascent tumors drive rhomboid hyperinduction? An attractive possibility involves Jun N-terminal kinase (JNK; also basket/bsk). JNK activation is essential for APC−/− tumors to grow [24]. Furthermore, JNK-dependent regeneration of damaged midguts is accompanied by widespread induction of rhomboid [38, 41, 42]. Hence, we investigated whether APC−/− cells co-opt their neighboring, non-clone cells into expressing rhomboid via JNK. We first examined the kinetics of JNK and rhomboid expression as tumors developed over time. We generated unmarked APC−/− stem cells in a background of GFP-labeled non-clone cells (Figure S2B), harvested midguts at 2, 5, 10, or 21 days after clone induction (Figure 4A), and immunostained non-clone cells for activated, phosphorylated JNK (pJNK) and β-galactosidase (rho-lacZ; Figures 4B, S4A).

We found that numbers of JNK-activated non-clone cells surged rapidly and dramatically during APC−/− tumorigenesis (Figures 4B, 4C). pJNK+ non-clone cells climbed sharply from 2-5 days and remained extremely high from 5-21 days. At 21 days, pJNK+ non-clone cells were markedly elevated (1151.0 ± 190.2 pJNK+ cells) compared to either wild-type guts with control clones (10.5 ± 8.4) or genotype-matched APC+/− guts in which APC−/− clones had not been induced (35.0 ± 9.1) (Figures 4B, S4D). Thus, APC−/− clones prompt non-clone cells to acutely hyperactivate JNK early in tumorigenesis, before the mutant clones have become multilayered tumors (Figure S1F).

JNK activation preceded rhomboid induction (Figures 4BD). After 2 days of APC−/− clone development, rhomboid-lacZ non-clone cells were still at control levels. After 5 days, they had increased only slightly. From 5-10 days, however, rhomboid-lacZ+ cells increased dramatically, and from 10-21 days they remained highly elevated. In these tumor-containing guts, 78.3 ± 7.6% of non-clone cells that had turned on rhomboid were also pJNK+ (Figures 4B, 4E, S4A). By contrast, in APC+/− guts lacking APC−/− clones, only 9.8 ± 3.2% of rhomboid-expressing cells were also pJNK+ (Figure S4F). Colocalization of rhomboid expression and activated JNK in the same non-clone cells (Figure 4E), together with the general delay in rhomboid activation relative to JNK (Figures 4B4D), raise the possibility that JNK induces rhomboid.

To investigate this possibility, we concomitantly generated APC−/− clones and inhibited JNK in non-clone cells via RU486-inducible expression of bskDN [43, 44] (Figures S2C, S2E). This manipulation reduced rhomboid mRNA by 40% and diminished Egfr-activated tumor cells by 74% (Figures 4F4H). Furthermore, APC−/− clones were substantially smaller, as also observed by Suijkerbuijk et al. [24], and exhibited dramatically less multilayering (Figures S3J3L).

By comparison, tumor-autonomous expression of bskDN in APC−/− clones did not significantly reduce clone sizes or affect multilayering (Figures S3G3I), possibly reflecting that tumor cells do not activate JNK until later stages (Figure 4B). In control midguts, expressing bskDN in clones or in surrounding non-clone cells did not change clone sizes (Figures S3H, S3K), consistent with prior work [45]. Combined, these kinetic and functional analyses imply a model in which APC−/− cells acutely hyperactivate JNK in non-clone cells, which consequently induce rhomboid to activate Egfr and promote tumor growth.

Discussion

During steady-state turnover of the Drosophila midgut, expression of the EGF protease rhomboid is suppressed in healthy enterocytes and activated in enterocytes undergoing apoptotic elimination [8]. This mechanism provides feedback control so that the mitogenic EGFs Spitz and Keren, both regulated by Rhomboid, become available specifically at the time and place that replacement cells are needed [8]. Here, we have shown that nascent tumors transform this feedback control into feed-forward activation by instigating widespread induction of rhomboid, including in non-apoptotic cells (Figure 4I). This inappropriate rhomboid induction enables EGFs to be secreted chronically, which in turn drives production of new cells regardless of tissue need.

Feedback EGF signaling is transformed into feed-forward activation via sequential non-autonomous and autonomous mechanisms that effectively short-circuit the homeostatic pathway for rhomboid activation. Even before APC−/− cells manifest as tumors, they induce rhomboid in wild-type neighbor cells via non-autonomous activation of JNK. During subsequent growth, tumors autonomously activate rhomboid via loss of E-cad and release of p120-catenin in an apoptosis-independent manner. Rhomboid dysregulation in both tumor and non-tumor cells is required to form multilayered adenomas. This dual requirement suggests that high levels of EGFs are necessary to overcome robust enforcement of cell equilibrium.

Suijkerbuijk and colleagues elegantly demonstrated that competition between APC−/− cells and wild-type cells leads to tumor growth [24], but the growth-promoting mechanism remained unknown. We suggest cell competition may promote growth by deregulating rhomboid, which would lead to consequent activation of Egfr. If so, a major implication is that tumor/non-tumor cell competition acts by directly subverting pathways that mediate normal homeostasis. Whether cell competition during mammalian tumorigenesis [4651] follows a similar template will be important to determine.

The mechanisms that enable establishment of Drosophila APC−/− tumors may illuminate initiation of human colorectal cancers, which are tightly associated with APC inactivating mutations. Intriguingly, Rhomboids, E-cad, and EGFR have been implicated in human tumor progression [13, 17, 5254], suggesting this signaling axis may be conserved. This possibility confers particular interest on two of our findings. First, while loss of E-cad is canonically thought to promote metastasis via loss of cell-cell adhesion, we uncovered a crucial role during early-tumor development: dysregulation of p120-catenin to drive EGF signaling. Whether a similar relationship between p120-catenin and EGF exists in colorectal cancer merits examination. Second, while studies of mammalian Rhomboids have focused on advanced cancers, we find rhomboid induction is a tumor-initiating event. Hence, examining Rhomboids in early-stage mammalian tumorigenesis may be fruitful. Overall, understanding how nascent tumors destabilize cell equilibrium may suggest strategies for preventing potentially tumorigenic cells from establishing tumors.

STAR Methods

Lead Contact and Materials Availability

Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Lucy Erin O’Brien (lucye@stanford.edu). This study did not generate new unique reagents.

Experimental Model and Subject Details

Adult female flies (Drosophila melanogaster) were used in all experiments. Crosses and adult flies were raised at 25°C in vials containing molasses-cornmeal. Unless specified otherwise, flies were heat-shocked 1 day after eclosion to induce clones and collected 21 days after induction for dissection/immunostaining. See Table S1 for full list of experimental genotypes.

Fly stocks

The following stocks were obtained from the Bloomington Stock Center: y w shgmTomato, UAS-shg, UAS-shgΔJM, UAS-egfr RNAi (TRiP.HMS05003), UAS-rho RNAi (TRiP.HMS02264), UAS-bskDN, and UAS-p35. UAS-p120 RNAi (KK113572) was obtained from the Vienna Drosophila Resource Center. The following stocks were generous gifts: FRT82 APC2G10 APC1Q8 (from M. Peifer), hsflp122; FRT82 ubi-GFP and hsflp122; FRT82 GS2326 ubi-RFP (from E. Piddini [24]), UAS-shgdCR4h (from M. Fuller), and rhoX81(rhomboid-lacZ, from H. Jiang). Other stocks (from our previous studies [8, 55]): w; FRT82 and w UAS-CD8:GFP hsflp122; tubGAL4; FRT82 tubGAL80. Detailed information on Drosophila genes and stocks is available from FlyBase (http://flybase.org/).

Method Details

Induction of stem cell clones

Tumor clones were generated using three separate labeling systems (Figure S2). For all three labeling systems, tumor clones were generated by collecting adult flies one day post-eclosion and performing two 30-min, 38.5°C heat shocks separated by a 8-min chill on ice. Flies were returned to 25°C until time of dissection. For experiments which manipulated gene expression in adjacent tissue after tumor induction (Figure S2C; also known as the “pLoser” system [24]), both control and experimental flies were fed RU486 upon returning to 25°C post-heat shock until time of dissection (see “GeneSwitch induction” below).

GeneSwitch induction

To induce expression of the GeneSwitch driver, GS2326, adult flies (control and experimental cohorts) were fed RU486. RU486 (Sigma-Aldrich) was dissolved in dH2O to reach a working concentration of 25 μg/mL. This solution was used to prepare yeast paste, which was fed to flies as a supplement to their standard cornmeal–molasses diet for the duration of induced gene expression. Drug-containing yeast paste was replenished every three days.

Bleomycin feeding

Bleomycin (Sigma-Aldrich) was prepared at a working concentration of 25 μg/ml, dissolved in ddH2O with 5% sucrose. This solution was used to prepare yeast paste, which was fed to flies as a supplement to their standard cornmeal–molasses diet for 5 hours.

Immunohistochemistry and microscopy

Immunohistochemistry samples were prepared by incubating in fixative (8% formaldehyde, 200 mM Na cacodylate, 100 mM sucrose, 40mM KOAc, 10mM NaOAc, and 10mM EGTA) for 20 min at room temperature. Fixed issues were immunostained and mounted in agarose (see also [8, 55]). Anti-GFP and anti-RFP antibodies were used to improve detection of ubi-GFP and ubi-RFP expression in tumor labeling systems (Figure S2). Anti-RFP was used to detect shgmTomato. Primary antibodies: mouse anti-β-galactosidase (1:400, Promega Z3781), rabbit anti-cleaved caspase-3 (1:400, Cell Signaling, gift from D. Bilder), rabbit anti-dpErk (1:200, Cell Signaling 4370P), mouse anti-Coracle (1:400, DSHB C615.16), mouse anti-Discs large (1:400, DSHB 4F3), rabbit anti-pJNK pTPpY (1:500, Promega V7931), chicken anti-GFP (1:400, Invitrogen A10262) rabbit anti-RFP (1:500, Invitrogen R10367), and mouse anti-RFP (1:500, Invitrogen RF5R). Secondary antibodies: Alexa Fluor 488-, 555- or 647-conjugated anti-rabbit, anti-mouse, or anti-chicken IgGs (1:800, LifeTechnologies A31570, A11001, A11039, A32728, A32732, and A21244). Nuclei were stained with DAPI (LifeTechnologies, 1:1,000). Samples were mounted in ProLong (LifeTechnologies). Imaging of samples was performed on a Leica SP8 confocal microscope, with serial optical sections taken at 3.5 μm intervals through the entirety of whole-mounted, immunostained midguts.

RNA isolation and qRT-PCR

To extract RNA, whole midguts were dissected in sterile PBS; four midguts per biological replicate. Midguts were re-suspended in Trizol reagent (Invitrogen) and incubated for 15 minutes. Following Trizol incubation, RNA was extracted with chloroform, then precipitated with isopropanol. From each biological replicate, 1μg of RNA was used for cDNA library synthesis with Invitrogen SuperStrand III First Script Super Mix (Invitrogen). To perform qRT-PCR, 1 μL of cDNA was combined with SYBR GreenER Supermix (Invitrogen), as well as respective primers (10μM), to a final volume of 20μL per well in a 96-well format. Each biological replicate sample was evaluated in triplicate wells. Expression levels were normalized to non-tumorous midguts expressing control clones; rp49 was used as a reference gene. Plates were run on a StepOnePlus ABI instrument using the ΔΔCT method; relative expression was calculated using the instrument software. Thermocycling conditions: 95°C for 10 min (in itiation), 40 cycles of 95°C for 15 secs then 60°C for 1 min, and melting curve analysis from 60°C to 95°C with acquisitions every 0.3°C. Primers were from [8, 56]. Prime r sequences from 5’ to 3’ – rp49 Fwd: CGGATCGATATGCTAAGCTGT, rp49 Rev: CGACGCACTCTGTTGTCG, rhomboid Fwd: GAGCACATCTACATGCAACGC, and rhomboid Rev: GGAGATCACTAGGATGAACCAGG.

Study design

Sample sizes were chosen based on our previous studies [8, 55], which also characterized changes in clone sizes and midgut cell numbers; see also Table S2. Most experiments were replicated three times; see respective figure legends. No exclusion criteria were applied. No sample randomization or blinding was performed.

Quantification and Statistical Analysis

Clone visualization and quantification

Tumors were visualized (1) as z-stacks using Fiji [57] and (2) in 3D using the Bitplane Imaris software. For each midgut, all clones within the R4 and R5 regions [58] were analyzed (see Figure S1B). Cells per tumor were measured as the number of DAPI+ nuclei within the labeled clone boundary (as determined by the presence or absence of respective labeling proteins). All clone counts were performed manually. To categorize clones as single-layered or multilayered, each clone was viewed from the sagittal plane in Bitplane Imaris. Clones were designated as single-layered if all polyploid enterocytes possessed both (1) a free luminal surface that was not juxtaposed to other cells or to presumptive basement membrane/visceral muscle and (2) a basal surface that was not juxtaposed to other cells but was juxtaposed to presumptive basement membrane/visceral muscle. Clones were designated as multi-layered if one or more polyploid enterocytes lacked either or both of these criteria. Statistical parameters for clone reported in Table S3.

Statistical analysis

All statistical analyses were performed using Graphpad Prism 7. For comparisons of clone size distributions, unpaired two-tailed Mann–Whitney U-tests were used to assess statistical significance. To compare the frequencies of mutilayered clones, cell numbers or percentages, and mRNA levels, unpaired two-tailed t-tests were used to assess statistical significance. No methods were applied to test the assumptions for respective statistical approaches. Statistical parameters - e.g. sample sizes (n) and values represented by error bars or boxplots - are reported in respective figure legends; p-values are reported in respective graphs. For each experiment, n represents the number of midguts per condition.

Data and Code Availability

This study did not generate or analyze any datasets/code.

Supplementary Material

2

KEY RESOURCES TABLE

REAGENT or RESOURCE SOURCE IDENTIFIER
Antibodies
Mouse anti-β-galactosidase Promega Z3781; RRID:AB_430877
Rabbit anti-cleaved caspase-3 Cell Signaling (discontinued)
Rabbit anti-dpErk Cell Signaling 4370P; RRID:AB_2315112
Mouse anti-Coracle DSHB C615.16; RRID:AB_1161644
Mouse anti-Discs large DSHB 4F3; RRID:AB_528203
Rabbit anti-pJNK pTPpY Promega V7931; RRID:AB_430864
Chicken anti-GFP Thermo Fisher A10262; RRID:AB_2534023
Rabbit anti-RFP Thermo Fisher R10367; RRID:AB_2315269
Mouse anti-RFP Thermo Fisher RF5R; RRID:AB_10999796
Donkey anti-mouse Alexa 555 Thermo Fisher A31570; RRID:AB_2536180
Goat anti-mouse Alexa 488 Thermo Fisher A11001; RRID:AB_2534069
Goat anti-chicken Alexa 488 Thermo Fisher A11039; RRID:AB_2534096
Goat anti-mouse Alexa 647 Thermo Fisher A32728; RRID:AB_2633277
Goat anti-rabbit Alexa 555 Thermo Fisher A32732; RRID:AB_2633281
Goat anti-rabbit Alexa 647 Thermo Fisher A21244; RRID:AB_2535812
Chemicals, Peptides, and Recombinant Proteins
DAPI Thermo Fisher D1306; RRID:AB_2629482
Prolong Gold antifade Thermo Fisher P10144
RU486 Sigma Aldrich 475838
Bleomycin Sigma Aldrich 15361
Trizol reagent Thermo Fisher 15596026
Critical Commercial Assays
SuperStrand III First Script Super Mix Thermo Fisher 18080051
SYBR GreenER Supermix Thermo Fisher 4309155
Experimental Models: Organisms/Strains
Drosophila: y w shgmTomato BDSC 58789; RRID:BDSC_58789
Drosophila: UAS-shg BDSC 58494; RRID:BDSC_58494
Drosophila: UAS-shgΔJM BDSC 58444; RRID:BDSC_58444
Drosophila: UAS-egfr RNAi (TRiP.HMS05003) BDSC 60012; RRID:BDSC_60012
Drosophila: UAS-rho RNAi (TRiP.HMS02264) BDSC 41699; RRID:BDSC_41699
Drosophila: UAS-bskDN BDSC 6409; RRID:BDSC_6409
Drosophila: UAS-p35 BDSC 5072; RRID:BDSC_5072
Drosophila: UAS-p120 RNAi (KK113572) VDRC v103063; RRID:FlyBase_FBst 0474925
Drosophila: FRT82 APC2G10 APC1Q8 Mark Peifer lab N/A
Drosophila: hsflp122; FRT82 ubi-GFP Eugenia Piddini lab N/A
Drosophila: hsflp122; FRT82 GS2326 ubi-RFP Eugenia Piddini lab N/A
Drosophila: UAS-shgdCR4h Margaret Fuller lab N/A
Drosophila: rhoX81 (rho-lacZ) Huaqi Jiang lab N/A
Drosophila: w; FRT82 David Bilder lab N/A
Drosophila: UAS-CD8:GFP hsflp122; tubGAL4; FRT82 tubGAL80 David Bilder lab N/A
Oligonucleotides
rp49 Fwd primer: CGGATCGATATGCTAAGCTGT N/A N/A
rp49 Rev primer: CGACGCACTCTGTTGTCG N/A N/A
rhomboid Fwd primer: GAGCACATCTACATGCAACGC N/A N/A
rhomboid Rev primer: GGAGATCACTAGGATGAACCAGG N/A N/A
Software and Algorithms
Graphpad Prism 7 GraphPad Software RRID:SCR_002798
Fiji https://fiji.sc N/A
Bitplane Imaris 8 Bitplane RRID:SCR_007370

Highlights.

  • In the fly gut, APC−/− cells form tumors by short circuiting EGF feedback control

  • Short circuiting involves widespread dysregulation of the EGF protease Rhomboid

  • E-cadherin loss and p120-catenin activation induce rhomboid in multilayered tumors

  • Early-onset JNK activation induces rhomboid in neighboring wild-type cells

Acknowledgements

S.N. was supported by a Stanford Bio-X Undergraduate Fellowship. J.L. was supported by NSF GRFP DGE-114747 and NIH T32GM007276. This work was supported by ACS RSG-17-167-01-DDC, NIH R01GM116000-01A1, and a Stanford VPUE Faculty Grant to L.E.O. Confocal microscopy was performed at the Stanford Beckman Cell Sciences Imaging Facility (NIH 1S10OD01058001A1). We thank D. Bilder for the gift of cCas-3 antibody; the Developmental Studies Hybridoma Bank for other antibodies; M. Peifer, E. Piddini, M. Fuller, H. Jiang, the Bloomington Drosophila Stock Center (NIH P40OD018537), the TRiP at Harvard Medical School (NIH/NIGMS R01-GM084947), and the Vienna Drosophila Resource Center (http://stockcenter.vdrc.at/control/main) for fly stocks; M. Mirvis, L.J. Koyama, and E.N. Sanders for helpful discussions; J.M. Knapp for writing assistance; and J. Cordero and K. Campbell for comments on the manuscript.

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Declaration of Interests

The authors declare no competing financial interests.

References

  • 1.Pellettieri J, and Sanchez Alvarado A (2007). Cell turnover and adult tissue homeostasis: from humans to planarians. Annu Rev Genet 41, 83–105. [DOI] [PubMed] [Google Scholar]
  • 2.O’Brien LE, and Bilder D (2013). Beyond the niche: tissue-level coordination of stem cell dynamics. Annu Rev Cell Dev Biol 29, 107–136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Brown S, Pineda CM, Xin T, Boucher J, Suozzi KC, Park S, Matte-Martone C, Gonzalez DG, Rytlewski J, Beronja S, et al. (2017). Correction of aberrant growth preserves tissue homeostasis. Nature 548, 334–337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Patel PH, Dutta D, and Edgar BA (2015). Niche appropriation by Drosophila intestinal stem cell tumours. Nat Cell Biol 17, 1182–1192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Egeblad M, Nakasone ES, and Werb Z (2010). Tumors as organs: complex tissues that interface with the entire organism. Dev Cell 18, 884–901. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Brock A, Krause S, and Ingber DE (2015). Control of cancer formation by intrinsic genetic noise and microenvironmental cues. Nat Rev Cancer 15, 499–509. [DOI] [PubMed] [Google Scholar]
  • 7.Quail DF, and Joyce JA (2013). Microenvironmental regulation of tumor progression and metastasis. Nat Med 19, 1423–1437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Liang J, Balachandra S, Ngo S, and O’Brien LE (2017). Feedback regulation of steady-state epithelial turnover and organ size. Nature 548, 588–591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Tian A, Benchabane H, and Ahmed Y (2018). Wingless/Wnt Signaling in Intestinal Development, Homeostasis, Regeneration and Tumorigenesis: A Drosophila Perspective. J Dev Biol 6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Rodriguez FJ, Lewis-Tuffin LJ, and Anastasiadis PZ (2012). E-cadherin’s dark side: possible role in tumor progression. Biochim Biophys Acta 1826, 23–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Brooks SA, Lomax-Browne HJ, Carter TM, Kinch CE, and Hall DM (2010). Molecular interactions in cancer cell metastasis. Acta Histochem 112, 3–25. [DOI] [PubMed] [Google Scholar]
  • 12.Yu Y, and Elble RC (2016). Homeostatic Signaling by Cell-Cell Junctions and Its Dysregulation during Cancer Progression. J Clin Med 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Jeanes A, Gottardi CJ, and Yap AS (2008). Cadherins and cancer: how does cadherin dysfunction promote tumor progression? Oncogene 27, 6920–6929. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Roskoski R (2014). The ErbB/HER family of protein-tyrosine kinases and cancer. Pharmacol Res 79, 34–74. [DOI] [PubMed] [Google Scholar]
  • 15.Yewale C, Baradia D, Vhora I, Patil S, and Misra A (2013). Epidermal growth factor receptor targeting in cancer: a review of trends and strategies. Biomaterials 34, 8690–8707. [DOI] [PubMed] [Google Scholar]
  • 16.Cheng TL, Lai CH, Jiang SJ, Hung JH, Liu SK, Chang BI, Shi GY, and Wu HL (2014). RHBDL2 is a critical membrane protease for anoikis resistance in human malignant epithelial cells. ScientificWorldJournal 2014, 902987. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Song W, Liu W, Zhao H, Li S, Guan X, Ying J, Zhang Y, Miao F, Zhang M, Ren X, et al. (2015). Rhomboid domain containing 1 promotes colorectal cancer growth through activation of the EGFR signalling pathway. Nature Communications 6, 8022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Lee T, and Luo L (1999). Mosaic analysis with a repressible cell marker for studies of gene function in neuronal morphogenesis. Neuron 22, 451–461. [DOI] [PubMed] [Google Scholar]
  • 19.Ahmed Y, Hayashi S, Levine A, and Wieschaus E (1998). Regulation of armadillo by a Drosophila APC inhibits neuronal apoptosis during retinal development. Cell 93, 1171–1182. [DOI] [PubMed] [Google Scholar]
  • 20.McCartney BM, Price MH, Webb RL, Hayden MA, Holot LM, Zhou M, Bejsovec A, and Peifer M (2006). Testing hypotheses for the functions of APC family proteins using null and truncation alleles in Drosophila. Development 133, 2407–2418. [DOI] [PubMed] [Google Scholar]
  • 21.Lee WC, Beebe K, Sudmeier L, and Micchelli CA (2009). Adenomatous polyposis coli regulates Drosophila intestinal stem cell proliferation. Development 136, 2255–2264. [DOI] [PubMed] [Google Scholar]
  • 22.Wang C, Zhao R, Huang P, Yang F, Quan Z, Xu N, and Xi R (2013). APC loss-induced intestinal tumorigenesis in Drosophila: Roles of Ras in Wnt signaling activation and tumor progression. Dev Biol 378, 122–140. [DOI] [PubMed] [Google Scholar]
  • 23.Cordero JB, Stefanatos RK, Myant K, Vidal M, and Sansom OJ (2012). Non-autonomous crosstalk between the Jak/Stat and Egfr pathways mediates Apc1-driven intestinal stem cell hyperplasia in the Drosophila adult midgut. Development 139, 4524–4535. [DOI] [PubMed] [Google Scholar]
  • 24.Suijkerbuijk SJ, Kolahgar G, Kucinski I, and Piddini E (2016). Cell Competition Drives the Growth of Intestinal Adenomas in Drosophila. Curr Biol 26, 428–438. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Tian A, Benchabane H, Wang Z, Zimmerman C, Xin N, Perochon J, Kalna G, Sansom OJ, Cheng C, Cordero JB, et al. (2017). Intestinal stem cell overproliferation resulting from inactivation of the APC tumor suppressor requires the transcription cofactors Earthbound and Erect wing. PLoS Genet 13, e1006870. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Fearon ER (2011). Molecular genetics of colorectal cancer. Annu Rev Pathol 6, 479–507. [DOI] [PubMed] [Google Scholar]
  • 27.Dorudi S, Sheffield JP, Poulsom R, Northover JM, and Hart IR (1993). E-cadherin expression in colorectal cancer. An immunocytochemical and in situ hybridization study. Am J Pathol 142, 981–986. [PMC free article] [PubMed] [Google Scholar]
  • 28.Hao X, Palazzo JP, Ilyas M, Tomlinson I, and Talbot IC (1997). Reduced expression of molecules of the cadherin/catenin complex in the transition from colorectal adenoma to carcinoma. Anticancer research 17, 2241–2247. [PubMed] [Google Scholar]
  • 29.Huang J, Zhou W, Dong W, Watson AM, and Hong Y (2009). Directed, efficient, and versatile modifications of the Drosophila genome by genomic engineering. Proc Natl Acad Sci U S A 106, 8284–8289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Oda H, and Tsukita S (1999). Nonchordate classic cadherins have a structurally and functionally unique domain that is absent from chordate classic cadherins. Dev Biol 216, 406–422. [DOI] [PubMed] [Google Scholar]
  • 31.McCrea PD, and Gottardi CJ (2016). Beyond β-catenin: prospects for a larger catenin network in the nucleus. Nat Rev Mol Cell Biol 17, 55–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Huels DJ, Ridgway RA, Radulescu S, Leushacke M, Campbell AD, Biswas S, Leedham S, Serra S, Chetty R, Moreaux G, et al. (2015). E-cadherin can limit the transforming properties of activating β-catenin mutations. EMBO J 34, 2321–2333. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Phelps RA, Chidester S, Dehghanizadeh S, Phelps J, Sandoval IT, Rai K, Broadbent T, Sarkar S, Burt RW, and Jones DA (2009). A two-step model for colon adenoma initiation and progression caused by APC loss. Cell 137, 623–634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Pacquelet A, and Rørth P (2005). Regulatory mechanisms required for DE-cadherin function in cell migration and other types of adhesion. J Cell Biol 170, 803–812. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Cordero JB, Ridgway RA, Valeri N, Nixon C, Frame MC, Muller WJ, Vidal M, and Sansom OJ (2014). c-Src drives intestinal regeneration and transformation. EMBO J 33, 1474–1491. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Biteau B, and Jasper H (2011). EGF signaling regulates the proliferation of intestinal stem cells in Drosophila. Development 138, 1045–1055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Buchon N, Broderick NA, Kuraishi T, and Lemaitre B (2010). Drosophila EGFR pathway coordinates stem cell proliferation and gut remodeling following infection. BMC Biol 8, 152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Jiang H, Grenley MO, Bravo MJ, Blumhagen RZ, and Edgar BA (2011). EGFR/Ras/MAPK signaling mediates adult midgut epithelial homeostasis and regeneration in Drosophila. Cell Stem Cell 8, 84–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Strand M, and Micchelli CA (2011). Quiescent gastric stem cells maintain the adult Drosophila stomach. Proc Natl Acad Sci U S A 108, 17696–17701. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Hay BA, Wolff T, and Rubin GM (1994). Expression of baculovirus P35 prevents cell death in Drosophila. Development 120, 2121–2129. [DOI] [PubMed] [Google Scholar]
  • 41.Jiang H, Patel PH, Kohlmaier A, Grenley MO, McEwen DG, and Edgar BA (2009). Cytokine/Jak/Stat signaling mediates regeneration and homeostasis in the Drosophila midgut. Cell 137, 1343–1355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Zhang P, Holowatyj AN, Roy T, Pronovost SM, Marchetti M, Liu H, Ulrich CM, and Edgar BA (2019). An SH3PX1-Dependent Endocytosis-Autophagy Network Restrains Intestinal Stem Cell Proliferation by Counteracting EGFR-ERK Signaling. Dev Cell 49, 574–589. e575. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Zhai Z, Kondo S, Ha N, Boquete JP, Brunner M, Ueda R, and Lemaitre B (2015). Accumulation of differentiating intestinal stem cell progenies drives tumorigenesis. Nat Commun 6, 10219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Ma X, Shao Y, Zheng H, Li M, Li W, and Xue L (2013). Src42A modulates tumor invasion and cell death via Ben/dUev1a-mediated JNK activation in Drosophila. Cell Death Dis 4, e864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Kolahgar G, Suijkerbuijk SJ, Kucinski I, Poirier EZ, Mansour S, Simons BD, and Piddini E (2015). Cell Competition Modifies Adult Stem Cell and Tissue Population Dynamics in a JAK-STAT-Dependent Manner. Dev Cell 34, 297–309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Madan E, Pelham CJ, Nagane M, Parker TM, Canas-Marques R, Fazio K, Shaik K, Yuan Y, Henriques V, Galzerano A, et al. (2019). Flower isoforms promote competitive growth in cancer. Nature 572, 260–264. [DOI] [PubMed] [Google Scholar]
  • 47.Martins VC, Busch K, Juraeva D, Blum C, Ludwig C, Rasche V, Lasitschka F, Mastitsky SE, Brors B, Hielscher T, et al. (2014). Cell competition is a tumour suppressor mechanism in the thymus. Nature 509, 465–470. [DOI] [PubMed] [Google Scholar]
  • 48.Snippert HJ, Schepers AG, van Es JH, Simons BD, and Clevers H (2014). Biased competition between Lgr5 intestinal stem cells driven by oncogenic mutation induces clonal expansion. EMBO Rep 15, 62–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Vermeulen L, Morrissey E, van der Heijden M, Nicholson AM, Sottoriva A, Buczacki S, Kemp R, Tavaré S, and Winton DJ (2013). Defining stem cell dynamics in models of intestinal tumor initiation. Science 342, 995–998. [DOI] [PubMed] [Google Scholar]
  • 50.Baker NE, and Li W (2008). Cell competition and its possible relation to cancer. Cancer Res 68, 5505–5507. [DOI] [PubMed] [Google Scholar]
  • 51.Moreno E (2008). Is cell competition relevant to cancer? Nat Rev Cancer 8, 141–147. [DOI] [PubMed] [Google Scholar]
  • 52.Lacunza E, Canzoneri R, Rabassa ME, Zwenger A, Segal-Eiras A, Croce MV, and Abba MC (2012). RHBDD2: a 5-fluorouracil responsive gene overexpressed in the advanced stages of colorectal cancer. Tumour Biol 33, 2393–2399. [DOI] [PubMed] [Google Scholar]
  • 53.Tsanou E, Peschos D, Batistatou A, Charalabopoulos A, and Charalabopoulos K (2008). The E-cadherin adhesion molecule and colorectal cancer. A global literature approach. Anticancer Res 28, 3815–3826. [PubMed] [Google Scholar]
  • 54.Zhang M, Miao F, Huang R, Liu W, Zhao Y, Jiao T, Lu Y, Wu F, Wang X, Wang H, et al. (2018). RHBDD1 promotes colorectal cancer metastasis through the Wnt signaling pathway and its downstream target ZEB1. J Exp Clin Cancer Res 37, 22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.O’Brien LE, Soliman SS, Li X, and Bilder D (2011). Altered modes of stem cell division drive adaptive intestinal growth. Cell 147, 603–614. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Amcheslavsky A, Song W, Li Q, Nie Y, Bragatto I, Ferrandon D, Perrimon N, and Ip YT (2014). Enteroendocrine cells support intestinal stem-cell-mediated homeostasis in Drosophila. Cell Rep 9, 32–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, et al. (2012). Fiji: an open-source platform for biological-image analysis. Nat Methods 9, 676–682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Buchon N, Osman D, David FP, Fang HY, Boquete JP, Deplancke B, and Lemaitre B (2013). Morphological and molecular characterization of adult midgut compartmentalization in Drosophila. Cell Rep 3, 1725–1738. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

2

Data Availability Statement

This study did not generate or analyze any datasets/code.

RESOURCES